Abstract
MPEG media have been widely adopted and is very successful in promoting interoperable services that deliver video to consumers on a range of devices. However, media consumption is going beyond the mere playback of a media asset and is geared towards a richer user experience that relies on rich metadata and content description. This paper proposes a technique for extracting and analysing metadata from a video, followed by decision making related to the video content. The system uses sentiment analysis for such a classification. It is envisaged that the system when fully developed, is to be applied to determine the existence of illicit multimedia content on the web.
Original language | English |
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Title of host publication | IEEE International Carnahan Conference on Security Technology |
Subtitle of host publication | ICCST2016 |
Place of Publication | US |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Number of pages | 7 |
Publication status | Published - 24 Oct 2016 |
Event | IEEE International Carnahan Conference on Security Technology - US, Orlando, Florida, United States Duration: 24 Oct 2016 → 27 Oct 2016 |
Conference
Conference | IEEE International Carnahan Conference on Security Technology |
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Country/Territory | United States |
City | Orlando, Florida |
Period | 24/10/16 → 27/10/16 |
Keywords
- MPEG
- metadata extraction
- video processing
- sentiment analysis
- polarity